We have detected your current browser version is not the latest one. Xilinx.com uses the latest web technologies to bring you the best online experience possible. Please upgrade to a Xilinx.com supported browser:Chrome,
Firefox,
Internet Explorer 11,
Safari. Thank you!

Machine Learning

Machine learning applications are rapidly expanding across a growing number of end markets, resident at the edge, in the cloud, or a hybrid of both. Xilinx provides the development stacks and hardware platforms for deploying advanced and efficient neural networks, algorithms and applications.

Smarter. Connected. Differentiated.

Over 50 Billion devices and machines will be connected by 2020. Once connected, they must be secure to deter intruders, right down to the hardware level. As these devices, machines, systems, and networks become more context aware, they must adapt to their environments and demands, being more programmable and software defined. They also must be scalable, with ever more functions virtualized and efficiently mapped onto shared compute resources. As data and video is captured from sensors and cameras everywhere, analytics must enable these machines to recognize, interpret, decide, and act.

These systems and networks must also meet the growing demands of impatient end users and real time scenarios that require immediate, low latency response. Yet, behind the scenes, they must process an exponentially growing amount of data, packets, and pixels with ever more sophisticated algorithms while consuming the lowest possible power. And they must be highly differentiated, or they will fail in the increasingly competitive and cost sensitive worldwide market. This can only be accomplished by combining software intelligence with hardware optimization and any-to-any connectivity.